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The Internet of Vehicles (IoV) is an emerging paradigm, driven by recentadvancements in vehicular communications and networking. Advances in researchcan now provide reliable communication links between vehicles, viavehicle-to-vehicle communications, and between vehicles and roadsideinfrastructures, via vehicle-to-infrastructure communications. Meanwhile, thecapability and intelligence of vehicles are being rapidly enhanced, and thiswill have the potential of supporting a plethora of new exciting applications,which will integrate fully autonomous vehicles, the Internet of Things (IoT),and the environment. These trends will bring about an era of intelligent IoV,which will heavily depend upon communications, computing, and data analyticstechnologies. To store and process the massive amount of data generated byintelligent IoV, onboard processing and Cloud computing will not be sufficient,due to resource/power constraints and communication overhead/latency,respectively. By deploying storage and computing resources at the wirelessnetwork edge, e.g., radio access points, the edge information system (EIS),including edge caching, edge computing, and edge AI, will play a key role inthe future intelligent IoV. Such system will provide not only low-latencycontent delivery and computation services, but also localized data acquisition,aggregation and processing. This article surveys the latest development in EISfor intelligent IoV. Key design issues, methodologies and hardware platformsare introduced. In particular, typical use cases for intelligent vehicles areillustrated, including edge-assisted perception, mapping, and localization. Inaddition, various open research problems are identified.

Mobile Edge Intelligence and Computing for the Internet of Vehicles